Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Part Time
- Contract Type
- Permanent employment
- Salary
- from 61.000 € Gross/Year
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable AI and data solutions, integrate innovative applications, design modern data architectures, and contribute to efficiency improvements in operational operations.
Job Technologies
Go Oracle AWS Snowflake
Apache Kafka Amazon Neptune Azure Synapse Jenkins MongoDB Cloudera CDH Fabric Google Cloud Platform Azure PyTorch LlamaIndex RESTful API Docker SQL InfluxDB HuggingFace BigQuery ArangoDB
Azure Databricks Redis Microsoft Teams PostgreSQL LangChain Azure Search MS SQL-Server SOAP R Java Git C# Azure Cosmos DB Kubernetes Python Azure DevOps Apache Spark Scala MLflow
Your role in the team
We support our clients end-to-end - from the strategic, AI-native realignment & goal setting of the organization, through the conception & development of cutting-edge AI solutions, to the technical design & implementation of AI & data platforms. In doing so, we combine domain expertise, modern AI technologies (especially generative and agentic AI), and deep technological understanding to create measurable, transformative business value.
Do you want to tackle complex technical challenges and lay the foundation for scalable AI and data solutions?
Then you are in the AI & Data Technology Practice exactly right: We ensure that innovative technologies are seamlessly integrated, scaled, and operated productively — turning visions into reality.
As part of our team, you will shape the technical implementation of modern data and AI solutions, integrate innovative applications into existing system landscapes, and establish modern data architectures. You will work on scaling in operational environments and ensure that our solutions not only function but also create sustainable added value.
In the process, you can specialize in multiple exciting roles:
Center of Advanced AI: FullStack LLM Development & AI LLM Technology Architecture
Data & Business Intelligence: Data Architecture & Data Engineering
What to expect
Utilize your technical expertise and passion for modern technologies to shape the next generation of AI and data architectures for our clients and to advance the deployment of generative and agentic AI.
As part of an interdisciplinary team, you, as a Technology Consultant, identify suitable technologies and architectures to make data and AI applications efficient, scalable, and usable. You evaluate technological options, design target architectures, and derive robust technical concepts and roadmaps from them.
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Our expectations of you
Education
Successful completion of a relevant degree at Master's or PhD level in the IT field, preferably with a focus on AI, Data Engineering, Software Engineering, or Databases.
Qualifications
Advanced knowledge in these areas is assumed: Software Engineering (e.g., Python, Scala, Java, C#, Go), Version Control Systems (e.g., Git, Azure DevOps), Data Manipulation (e.g., SQL, R, Spark), SQL Databases (e.g., MS SQL Server, Oracle, Postgres), Web APIs (e.g., REST, SOAP).
Additionally, we expect expertise in one of the following core areas:
- Data Architecture & Engineering: Data Warehouse / Data Integration (e.g., Databricks, Snowflake, MS Fabric, BigQuery, Azure Synapse) as well as NoSQL databases (e.g., Azure Cosmos DB, MongoDB, InfluxDB)
The following skills in one or more of these areas are a plus: Continuous Integration & Delivery (e.g., Unit Testing, Jenkins, Release Management), Cloud Architectures (e.g., AWS, Azure, GCP - certifications preferred), Big Data / In-Memory Databases (e.g., Cloudera, Redis), Graph Databases (Neo4j, Amazon Neptune, ArangoDB), Streaming Platforms (e.g., Apache Kafka, Azure Event Hubs), Containerization & Orchestration (e.g., Docker, Kubernetes).
Project-related mobility, strong communication skills in German and English, and a high customer orientation.
Experience
At least 2-3 years of professional experience in a relevant field.
- Advanced AI: AI & ML Development (LangChain / Graph, LlamaIndex, PyTorch, MLflow) as well as experience with LLM Foundation / Fine Tuned Models (OpenAI, Mistral, Anthropic, Hugging Face) and vector databases (Azure AI Search, Chroma DB, PgVector)
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Benefits
Work-Life-Integration
More net
Health, Fitness & Fun
Job Locations
This is your employer
Accenture GmbH
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
Description
- Founding year
- 1993
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
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(3 Reviews)Culture
3.9Workingconditions
4.3Career Growth
3.8Engineering
3.0